JTBDGPT a Jobs to be Done AI Innovation Expert

I have created a GPT (linked below) that is trained to be an expert in the Jobs-to-be-Done Innovation theory. JTBD theory helps uncover the reasons behind consumer decisions by focusing on their core needs (the same theory that helped McDonald's achieve a sevenfold increase in milkshake sales). I trained the AI on documents that explain the basics of JTBD theory and use cases.

I have created a GPT (linked below) that is trained to be an expert in the Jobs-to-be-Done Innovation theory. JTBD theory helps uncover the reasons behind consumer decisions by focusing on their core needs (the same theory that helped McDonald's achieve a sevenfold increase in milkshake sales). I trained the AI on documents that explain the basics of JTBD theory and use cases.

With this AI, you can explore the basic idea of jobs to be done theory, ask in-depth questions about JTBD theory, or seek guidance on applying JTBD theory to enhance your product or service.

You can describe your product, service, customers, or your overall business, then ask this AI how to leverage JTBD theory to drive meaningful improvements.

This GPT is meant to be an expert of basic jobs to be done theory (JTBD theory). It will guide users in understanding, applying, and exploring JTBD concepts, offering insights and practical examples based on the provided materials.

All you need to get started is a free account with OpenAI.

Here are 25 different questions you can try asking JTBDGPT.

1. What is the difference between JTBD and traditional market research?

2. How can I apply JTBD theory to my product development process?

3. What are the key components of a successful JTBD interview?

4. How do I identify the primary job my product is being hired for?

5. Can you provide examples of outcome statements in JTBD?

6. How does JTBD theory help with customer segmentation?

7. What are some common pitfalls when using JTBD in innovation?

8. How can I use JTBD to improve my marketing strategy?

9. What role does context play in JTBD theory?

10. How do I prioritize jobs in the JTBD framework?

11. What is the process for developing a JTBD questionnaire?

12. How do I analyze data collected from JTBD interviews?

13. Can JTBD be applied to services as well as products?

14. What are some examples of companies successfully using JTBD?

15. How does JTBD theory relate to the concept of disruptive innovation?

16. What is the importance of emotional and social jobs in JTBD?

17. How do I identify unmet needs using JTBD theory?

18. Can JTBD be integrated with other innovation methodologies?

19. How can JTBD help in creating a value proposition?

20. What are the steps for mapping out a customer journey using JTBD?

21. How do I ensure my JTBD research is actionable?

22. What are some tools or frameworks that complement JTBD?

23. How do I handle conflicting jobs in JTBD analysis?

24. What is the role of competitors in the JTBD framework?

25. How can I use JTBD to enter a new market?

Each of these questions can help users delve deeper into various aspects of JTBD theory and its practical applications.

Members of my website also gain access to my much more advanced Jobs to be Done AI. Which is trained on 80% more data and contains advanced JTBD content. Members also gain access to my in depth JTBD theory course and mentoring with an innovation expert.